scholarly journals Multi-layers grid environment modeling for nuclear facilities: A virtual simulation-based exploration of dose assessment and dose optimization

2020 ◽  
Vol 52 (5) ◽  
pp. 956-963
Author(s):  
Ming Jia ◽  
Mengkun Li ◽  
Ting Mao ◽  
Ming Yang
Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 37
Author(s):  
Diana Jiménez-Rodríguez ◽  
Mercedes Pérez-Heredia ◽  
María del Mar Molero Jurado ◽  
María del Carmen Pérez-Fuentes ◽  
Oscar Arrogante

During the COVID-19 confinement, we converted our clinical simulation sessions into simulated video consultations. This study aims to evaluate the effects of virtual simulation-based training on developing and cultivating humanization competencies in undergraduate nursing students. A quasi-experimental study was conducted with 60 undergraduate nursing students. A validated questionnaire was used to evaluate the acquisition of humanization competencies (self-efficacy, sociability, affection, emotional understanding, and optimism). The development of humanization competencies in this group composed of undergraduate nursing students was evaluated using virtual simulation-based training, comparing the levels obtained in these competencies at baseline (pre-test) and after the virtual simulation experience (post-test). After the virtual simulation sessions, students improved their levels in humanization total score and the emotional understanding and self-efficacy competencies, obtaining large effects sizes in all of them (rB = 0.508, rB = 0.713, and rB = 0.505 respectively). This virtual simulation modality enables training in the humanization of care with the collaboration of standardized patients in the form of simulated nursing video consultations and the performance of high-fidelity simulation sessions that comply with the requirements of best practices. Therefore, this methodology could be considered as another choice for virtual simulation. Additionally, this virtual modality could be a way to humanize virtual simulation.


2014 ◽  
Vol 2 (1) ◽  
pp. 67 ◽  
Author(s):  
Tecnam Yoon

<p><em>The purpose of this paper is to investigate the effects of virtual simulation-based language learning in a foreign language class in Korea. Total 35 1st-year university students in Korea participated in this research to figure out the effect of simulations. A virtual English learning community, ‘Cypris Chat’ in Second Life was selected as a learning tool. For the data collection, a survey questionnaire was distributed and analyzed quantitatively. The result shows that the majority of the students had a positive attitude toward using a virtual simulation in English learning and had better understanding in learning English by experiencing an authentic practice. The first section of this paper provides a general overview of simulations in educational settings through an insightful literature review of the current research in the area. The review includes a comprehensive outlook on simulations, an example of successful classroom integration and some of the considerations researchers have found for their implementation. The latter section addresses the research method, results and conclusions.</em></p>


2021 ◽  
Vol 85 (3) ◽  
pp. AB192
Author(s):  
Shari J. Dermer ◽  
Piyali Chatterjee-Shin ◽  
Katie S. Lucero

2019 ◽  
Vol 186 (4) ◽  
pp. 524-529
Author(s):  
Si Young Kim

Abstract The intercomparison test is a quality assurance activity performed for internal dose assessment. In Korea, the intercomparison test on internal dose assessment was carried out for nuclear facilities in May 2018. The test involved four nuclear facilities in Korea, and seven exposure scenarios were applied. These scenarios cover the intake of 131I, a uranium mixture, 60Co and tritium under various conditions. This paper only reviews the participant results of three scenarios pertinent to the operation of nuclear power plants and adopts the statistical evaluation method, used in international intercomparison tests, to determine the significance values of the results. Although no outliers were established in the test, improvements in the internal dose assessment procedure were derived. These included the selection of intake time, selection of lung absorption type according to the chemical form and consideration of the contribution of previous intake.


2011 ◽  
Vol 11 (5) ◽  
pp. 175-183
Author(s):  
Myeong-Heum Cho ◽  
Jung-Taek Seo ◽  
Chol-Young Lee ◽  
Young-Jin Park

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Lilan Liu ◽  
Liu Han ◽  
Zhiqi Lin ◽  
Manping Li ◽  
Tao Yu

2011 ◽  
Vol 121-126 ◽  
pp. 2200-2204
Author(s):  
Chao Wang ◽  
Lin Nan Han ◽  
Yuan Yao ◽  
Qian Sheng Zhao ◽  
Qing Xi Hu

To prevent the collision of tools and machine during the process of numerical control processing, reduce the number of cutting experiments and improve the production efficiency, it is a better way by using virtual simulation. This paper based on a mold cavity model of STL files, realized the numerical control programming based on Power Mill, researched the dynamic simulation process based on VERICUT, and at last verified the correctness and practicability of VERICUT simulation result by physical processing, which provided a reliable reference for physical machining.


Author(s):  
A. V. Kuzmin ◽  
A. V. Radkevich ◽  
V. P. Petrushkevich ◽  
N. D. Kuzmina

The aim of the current work is to perform a probabilistic dose assessment to quantify the relative importance of the source data uncertainties contribution towards the uncertainty estimates of collective and maximum individual doses of personnel during decommissioning of a storage facility. A probabilistic approach to the analysis of dose loads, including the analysis of sensitivity and uncertainty with respect to the input parameters of the used calculation models of dose assessment, allows to determine the most sensitive parameters, inaccuracies in the task of which lead to significant uncertainties in the estimates of dose loads on personnel and, therefore, require more accurate determination of conservative boundary values in deterministic analysis and safety justification. The calculations were performed by applying the code RESRAD-BUILD 3.50, developed by the Argonne National Laboratory of the US Department of Energy. The obtained results allow us to rank the parameters of the computational model according to the degree of their influence on the uncertainty of the final estimates of the dose loads on personnel, to develop recommendations for optimizing dose loads when performing radiation-hazardous work during nuclear facilities decommissioning.


Author(s):  
Lilan Liu ◽  
Zhiqi Lin ◽  
Feng Xiong ◽  
Manping Li ◽  
Tao Yu

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